Spectral Fidelity Analysis of Compressed Sensing Reconstruction Hyperspectral Remote Sensing Image Based on Wavelet Transformation
For hyperspectral image research,spectral characteristic retainment is more important than the spatial details retainment,so it is necessary to evaluate the spectral influence of hyperspectral image compressed sensing.In this paper,the researchers select a hyperspectral remote sensing image PROBE CHRIS with abundant coastal wetland ground objects to analyze spectral fidelity of wavelet transform compressed sensing algorithm on the basis of three indicators between reconstruction and original image pixel spectra: correlation coefficient,error and relative error.Meanwhile,eight typical ground objects are chosen to analyze their respective spectral deviation.The results indicate: (1) Image reconstruction algorithm based on wavelet transform compressed sensing functions well.Between the pixels of reconstruction image and original one,their average spectral correlation coefficient is 0.9428,error is 6.4096,and relative error is 13.81%; (2) Spectrum fidelity indicator values vary with wavebands.Reconstruction algorithm is selective about objects.
Spectral fidelity compressed sensing reconstruction hyperspectral remote sensing image
Yi Ma Jie Zhang Ni An
First Institute of Oceanography,State Oceanic Administration,Qingdao,China
国际会议
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
长沙
英文
138-148
2014-11-01（万方平台首次上网日期，不代表论文的发表时间）